Supply chain management: modelling the enablers using ISM and fuzzy MICMAC approach

Shrikant Gorane · Ravi Kant

38 citations0/0 files storedInternational Journal of Logistics Systems and Management

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Quality and Supply Management Multi-Criteria Decision Making Sustainable Supply Chain Management

Abstract

The main objective of this paper is to identify the different supply chain management enablers (SCMEs) and analyse their inter-relationships for successful supply chain management (SCM) implementation in an organisation. Interpretative structural modelling (ISM) is used to develop the relationship among various SCMEs for each dimension of SCM implementation. The results of ISM are used as an input to fuzzy Matriced Impacts Croises Multiplication Appliqueeaun Classement (MICMAC) analysis to identify the driving and dependence power of SCMEs. This paper has identified 18 key SCMEs and developed integrated model using ISM and the fuzzy MICMAC approach, which is used to identify and classify the important enablers and reveal the direct and indirect effects of each enabler on the SCM implementation.

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References

1994Vendor Selection Using Interpretive Structural Modelling (ISM)2005Development and validation of a measurement instrument for studying supply chain management practices 2006Supply chain management: a structured literature review and implications for future research 2007Performance measurement of supply chain management: A balanced scorecard approach 2008Benefits, barriers, and bridges to effective supply chain management 2009The impact of “soft” and “hard” TQM elements on quality management results 2003Adopting new technologies for supply chain management 2006Quality management practices and their impact on performance

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